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Rich Pauloo, PhD

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The source code is available at github.com/richpauloo/cv.

Last updated on 2021-10-08.

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Rich Pauloo, PhD

I spend most of my days writing code (mostly R, Python, SQL) to clean, visualize, and model data. I have a PhD in computational hydrogeology, where I simulated and visualized 3D contaminant transport in aquifers.

I’m an exert-level #rstats user. A few projects I’m proud of include R packages to query water quality data 📦 and text yourself from R 📱, R data science curriculum 📚, a dashboard that makes millions of water quality observations understandable 📈, and a model that predicts the risk of wells going dry 💧 funded by Microsoft’s AI for Earth Grant.

Education

PhD, Hydrogeology

University of California Davis

Davis, CA

2020 - 2015

  • Published 6 scientific papers (3 first-author).
  • Tools used: R, Python, SQL, git/Github, bash, AWS, cron, dplyr, ggplot2, shiny, flexdashboard, leaflet, sf, MODFLOW, RW3D, Paraview, Illustrator, ArcGIS, Envi, LaTeX
  • Won ~$153,000 in national, compeitive grants and awards from NASA, Microsoft AI for Earth, AGU, and others.

B.S., Integrative Biology (minor in Conflict Resolution)

University of California Berkeley

Berkeley, CA

2011 - 2006



Professional & Research Experience

Data Scientist

Larry Walker Associates

Berkeley, CA

present - 2020

  • Built and automated ETL pipelines for ~180 real-time sensor networks and dashboards that process > 100,000 daily observations.
  • Turned messy data into actionable information and automated reports.
  • Tools used: R, Python, SQL, git/Github, bash, AWS, cron, dplyr, ggplot2, shiny, flexdashboard, leaflet, sf
  • Managed multiple six-figure contracts, scoped work, contributed to strategic marketing, and trained staff.

Co-Founder

Water Data Lab

Remote

present - 2020

  • Manage $105k in annual contracts for specialized data science consulting.
  • Co-developed r4wrds.com

Data Engineer

UC Water

Davis, CA

2020 - 2018

  • Developed a monitoring dashboard with interactive data visualization using AWS with R, SQL, Shiny, and Shiny Server. I also built an automated ETL pipeline that pulled data from an IoT sensor network to feed the dashboard. REsults were peer-reviewed and published.

Data Lab Researcher

Computational Institute for Geodynamics (CIG)

UC Davis

2019 - 2018



Publications

Development of a remote sensing based method to estimate changes in groundwater storage

Science of the Total Environment, 10.1016/j.scitotenv.2021.150635

N/A

2021

  • Ahmed, A. & Sarfaraz A. & Pauloo, R. & Knight, R. & Melton, F.

Grants and Awards

Microsoft AI for Earth (national)

$37,571

N/A

2020

AGU Outstanding Student Presentation (national)

$200 and free 2020 registration

N/A

2019

2019 California Water Data Challenge (statewide)

$1,500

N/A

2019

  • Created calwaterquality.com, a statewide data portal that integrates and visualizes massive water quality data sets, and auto-generates water quality reports for more than 2,000 California public water systems.
  • Blog post about the project summarizing my motivation.

NASA Data Visualization Competition (national)

$1,400

N/A

2018

2018 California Water Data Challenge (statewide)

$1,500

N/A

2018

  • Used large state databases to build and calibrate a predictive model of domestic well failure in California’s Central Valley.

NSF-GRFP Honorable Mention (national)

N/A

N/A

2016

NSF-IGERT in Climate Change, Water and Society (national)

$111,000

N/A

2015



Selected Data Science Writing

Race to the Bottom

N/A

N/A

2019

Tidy Chi Squared stats in infer

N/A

N/A

2018

View all of my blog posts here.



Certifications

Wilderness First Responder

N/A

National Outdoor Leadership School

N/A

Software Carpentry Instructor

N/A

Software Carpentry

N/A